Search approach that understands the meaning and context of queries rather than just matching keywords. Like having a librarian who understands what you're really looking for.
Searching 'affordable family vacation spots with beaches' returns relevant results even without those exact words, understanding the intent behind the query.
All four can power semantic-style retrieval, but they differ in how “semantic” is delivered: Amazon Kendra and Vertex AI Search are managed search products with built-in relevance features for natural-language queries; Azure AI Search supports semantic ranking and vector search for meaning-based retrieval; OCI Search with OpenSearch can implement semantic search via vector/ML plugins and embeddings you generate, but it typically requires more configuration than the fully managed “AI search” offerings.